Courses
Bachelor
2024/2025
Data Analysis
Type:
Compulsory course (Chemistry)
Area of studies:
Chemistry
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Chemistry
When:
3 year, 3, 4 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Data Analysis
Type:
Compulsory course (System and Software Engineering)
Area of studies:
Software Engineering
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alisa Melikyan
Language:
English
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Data Analysis
Type:
Compulsory course (Journalism)
Area of studies:
Journalism
Delivered by:
Big Data and Information Retrieval School
When:
2 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Tatiana Perevyshina
Language:
Russian
ECTS credits:
3
Contact hours:
28
Bachelor
2024/2025
Data Analysis
Type:
Compulsory course (Economics and Statistics)
Area of studies:
Economics
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Economic Sciences
When:
3 year, 1 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Maksim Karpov
Language:
Russian
ECTS credits:
3
Contact hours:
16
Master
2024/2025
Data Analysis
Type:
Compulsory course (Digital Humanities)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Linguistics
Where:
Faculty of Humanities
When:
1 year, 3, 4 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Yulia Badryzlova
Language:
Russian
ECTS credits:
6
Contact hours:
64
2024/2025
Data Analysis
Type:
Mago-Lego
Delivered by:
School of Linguistics
When:
3, 4 module
Open to:
students of all HSE University campuses
Instructors:
Yulia Badryzlova
Language:
Russian
ECTS credits:
6
Contact hours:
64
2024/2025
Data Analysis
Type:
Mago-Lego
Delivered by:
School of Software Engineering
When:
1, 2 module
Open to:
students of one campus
Instructors:
Alisa Melikyan
Language:
English
ECTS credits:
6
Contact hours:
56
Bachelor
2024/2025
Data Analysis
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
8
Contact hours:
90
Master
2024/2025
Data Analysis
Type:
Compulsory course (Applied Artificial Intelligence Models)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
School of Applied Mathematics
When:
1 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
2024/2025
Data Analysis
Type:
Mago-Lego
Delivered by:
School of Applied Mathematics
When:
1, 2 module
Open to:
students of one campus
Language:
Russian
ECTS credits:
6
Contact hours:
60
Bachelor
2024/2025
Data Analysis
Type:
Compulsory course (Jurisprudence: Digital Lawyer)
Area of studies:
Law
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Law
When:
3 year, 3, 4 module
Mode of studies:
distance learning
Online hours:
50
Open to:
students of one campus
Instructors:
Кубаева Ассоль Рауфжоновна
Language:
Russian
ECTS credits:
3
Contact hours:
30
Bachelor
2024/2025
Data Analysis (Advanced level)
Type:
Elective course
Area of studies:
Economics
Delivered by:
Faculty of Economic Sciences
Where:
Faculty of Economic Sciences
When:
4 year, 1 semester
Mode of studies:
offline
Open to:
students of one campus
Language:
Russian
ECTS credits:
8
Contact hours:
90
Master
2024/2025
Data Analysis and Al Methods
Type:
Compulsory course (Computer Systems and Networks)
Area of studies:
Information Science and Computation Technology
Delivered by:
School of Computer Engineering
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Konstantin Lvovich Polyakov
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Data Analysis and Al Methods
Type:
Compulsory course (Computer Systems and Networks)
Area of studies:
Information Science and Computation Technology
Delivered by:
School of Computer Engineering
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Konstantin Lvovich Polyakov
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Data Analysis and Al Methods
Type:
Compulsory course (Computer Systems and Networks)
Area of studies:
Information Science and Computation Technology
Delivered by:
School of Computer Engineering
When:
1 year, 1 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Konstantin Lvovich Polyakov
Language:
Russian
ECTS credits:
3
Contact hours:
28
2024/2025
Data Analysis and Al Methods
Type:
Mago-Lego
Delivered by:
School of Computer Engineering
When:
1 module
Open to:
students of all HSE University campuses
Instructors:
Konstantin Lvovich Polyakov
Language:
Russian
ECTS credits:
3
Contact hours:
28
Master
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Area of studies:
Finance and Credit
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Area of studies:
Finance and Credit
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56
Master
2024/2025
Data Analysis and Crypto Asset Market Modeling
Type:
Elective course (Financial Markets and Institutions)
Area of studies:
Finance and Credit
Delivered by:
Department of Financial Market Infrastructure
Where:
Faculty of Economic Sciences
When:
2 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Tamara Teplova
Language:
Russian
ECTS credits:
6
Contact hours:
56